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Building A Strong Foundation
Analyze ICEA's efforts in supporting academic and research advancement in the civil engineering sector.
#best private university for computer science in india#networking engineer certification#Student Membership for computer science#icea#icea membership
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Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series
New Post has been published on https://thedigitalinsider.com/shaktiman-mall-principal-product-manager-aviatrix-interview-series/
Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series
Shaktiman Mall is Principal Product Manager at Aviatrix. With more than a decade of experience designing and implementing network solutions, Mall prides himself on ingenuity, creativity, adaptability and precision. Prior to joining Aviatrix, Mall served as Senior Technical Marketing Manager at Palo Alto Networks and Principal Infrastructure Engineer at MphasiS.
Aviatrix is a company focused on simplifying cloud networking to help businesses remain agile. Their cloud networking platform is used by over 500 enterprises and is designed to provide visibility, security, and control for adapting to changing needs. The Aviatrix Certified Engineer (ACE) Program offers certification in multicloud networking and security, aimed at supporting professionals in staying current with digital transformation trends.
What initially attracted you to computer engineering and cybersecurity?
As a student, I was initially more interested in studying medicine and wanted to pursue a degree in biotechnology. However, I decided to switch to computer science after having conversations with my classmates about technological advancements over the preceding decade and emerging technologies on the horizon.
Could you describe your current role at Aviatrix and share with us what your responsibilities are and what an average day looks like?
I’ve been with Aviatrix for two years and currently serve as a principal product manager in the product organization. As a product manager, my responsibilities include building product vision, conducting market research, and consulting with the sales, marketing and support teams. These inputs combined with direct customer engagement help me define and prioritize features and bug fixes.
I also ensure that our products align with customers’ requirements. New product features should be easy to use and not overly or unnecessarily complex. In my role, I also need to be mindful of the timing for these features – can we put engineering resources toward it today, or can it wait six months? To that end, should the rollout be staggered or phased into different versions? Most importantly, what is the projected return on investment?
An average day includes meetings with engineering, project planning, customer calls, and meetings with sales and support. Those discussions allow me to get an update on upcoming features and use cases while understanding current issues and feedback to troubleshoot before a release.
What are the primary challenges IT teams face when integrating AI tools into their existing cloud infrastructure?
Based on real-world experience of integrating AI into our IT technology, I believe there are four challenges companies will encounter:
Harnessing data & integration: Data enriches AI, but when data is across different places and resources in an organization, it can be difficult to harness it properly.
Scaling: AI operations can be CPU intensive, making scaling challenging.
Training and raising awareness: A company could have the most powerful AI solution, but if employees don’t know how to use it or don’t understand it, then it will be underutilized.
Cost: For IT especially, a quality AI integration will not be cheap, and businesses must budget accordingly.
Security: Make sure that the cloud infrastructure meets security standards and regulatory requirements relevant to AI applications
How can businesses ensure their cloud infrastructure is robust enough to support the heavy computing needs of AI applications?
There are multiple factors to running AI applications. For starters, it’s critical to find the right type and instance for scale and performance.
Also, there needs to be adequate data storage, as these applications will draw from static data available within the company and build their own database of information. Data storage can be costly, forcing businesses to assess different types of storage optimization.
Another consideration is network bandwidth. If every employee in the company uses the same AI application at once, the network bandwidth needs to scale – otherwise, the application will be so slow as to be unusable. Likewise, companies need to decide if they will use a centralized AI model where computing happens in a single place or a distributed AI model where computing happens closer to the data sources.
With the increasing adoption of AI, how can IT teams protect their systems from the heightened risk of cyberattacks?
There are two main aspects to security every IT team must consider. First, how do we protect against external risks? Second, how do we ensure data, whether it is the personally identifiable information (PII) of customers or proprietary information, remains within the company and is not exposed? Businesses must determine who can and cannot access certain data. As a product manager, I need sensitive information others are not authorized to access or code.
At Aviatrix, we help our customers protect against attacks, allowing them to continue adopting technologies like AI that are essential for being competitive today. Recall network bandwidth optimization: because Aviatrix acts as the data plane for our customers, we can manage the data going through their network, providing visibility and enhancing security enforcement.
Likewise, our distributed cloud firewall (DCF) solves the challenges of a distributed AI model where data gets queried in multiple places, spanning geographical boundaries with different laws and compliances. Specifically, a DCF supports a single set of security compliance enforced across the globe, ensuring the same set of security and networking architecture is supported. Our Aviatrix Networks Architecture also allows us to identify choke points, where we can dynamically update the routing table or help customers create new connections to optimize AI requirements.
How can businesses optimize their cloud spending while implementing AI technologies, and what role does the Aviatrix platform play in this?
One of the main practices that will help businesses optimize their cloud spending when implementing AI is minimizing egress spend.
Cloud network data processing and egress fees are a material component of cloud costs. They are both difficult to understand and inflexible. These cost structures not only hinder scalability and data portability for enterprises, but also provide decreasing returns to scale as cloud data volume increases which can impact organizations’ bandwidth.
Aviatrix designed our egress solution to give the customer visibility and control. Not only do we perform enforcement on gateways through DCF, but we also do native orchestration, enforcing control at the network interface card level for significant cost savings. In fact, after crunching the numbers on egress spend, we had customers report savings between 20% and 40%.
We’re also building auto-rightsizing capabilities to automatically detect high resource utilization and automatically schedule upgrades as needed.
Lastly, we ensure optimal network performance with advanced networking capabilities like intelligent routing, traffic engineering and secure connectivity across multi-cloud environments.
How does Aviatrix CoPilot enhance operational efficiency and provide better visibility and control over AI deployments in multicloud environments?
Aviatrix CoPilot’s topology view provides real-time network latency and throughput, allowing customers to see the number of VPC/VNets. It also displays different cloud resources, accelerating problem identification. For example, if the customer sees a latency issue in a network, they will know which assets are getting affected. Also, Aviatrix CoPilot helps customers identify bottlenecks, configuration issues, and improper connections or network mapping. Furthermore, if a customer needs to scale up one of its gateways into the node to accommodate more AI capabilities, Aviatrix CoPilot can automatically detect, scale, and upgrade as necessary.
Can you explain how dynamic topology mapping and embedded security visibility in Aviatrix CoPilot assist in real-time troubleshooting of AI applications?
Aviatrix CoPilot’s dynamic topology mapping also facilitates robust troubleshooting capabilities. If a customer must troubleshoot an issue between different clouds (requiring them to understand where traffic was getting blocked), CoPilot can find it, streamlining resolution. Not only does Aviatrix CoPilot visualize network aspects, but it also provides security visualization components in the form of our own threat IQ, which performs security and vulnerability protection. We help our customers map the networking and security into one comprehensive visualization solution.
We also help with capacity planning for both cost with costIQ, and performance with auto right sizing and network optimization.
How does Aviatrix ensure data security and compliance across various cloud providers when integrating AI tools?
AWS and its AI engine, Amazon Bedrock, have different security requirements from Azure and Microsoft Copilot. Uniquely, Aviatrix can help our customers create an orchestration layer where we can automatically align security and network requirements to the CSP in question. For example, Aviatrix can automatically compartmentalize data for all CSPs irrespective of APIs or underlying architecture.
It is important to note that all of these AI engines are inside a public subnet, which means they have access to the internet, creating additional vulnerabilities because they consume proprietary data. Thankfully, our DCF can sit on a public and private subnet, ensuring security. Beyond public subnets, it can also sit across different regions and CSPs, between data centers and CSPs or VPC/VNets and even between a random site and the cloud. We establish end-to-end encryption across VPC/VNets and regions for secure transfer of data. We also have extensive auditing and logging for tasks performed on the system, as well as integrated network and policy with threat detection and deep packet inspection.
What future trends do you foresee in the intersection of AI and cloud computing, and how is Aviatrix preparing to address these trends?
I see the interaction of AI and cloud computing birthing incredible automation capabilities in key areas such as networking, security, visibility, and troubleshooting for significant cost savings and efficiency.
It could also analyze the different types of data entering the network and recommend the most suitable policies or security compliances. Similarly, if a customer needed to enforce HIPAA, this solution could scan through the customer’s networks and then recommend a corresponding strategy.
Troubleshooting is a major investment because it requires a call center to assist customers. However, most of these issues don’t necessitate human intervention.
Generative AI (GenAI) will also be a game changer for cloud computing. Today, a topology is a day-zero decision – once an architecture or networking topology gets built, it is difficult to make changes. One potential use case I believe is on the horizon is a solution that could recommend an optimal topology based on certain requirements. Another problem that GenAI could solve is related to security policies, which quickly become outdated after a few years. AGenAI solution could help users routinely create new security stacks per new laws and regulations.
Aviatrix can implement the same security architecture for a datacenter with our edge solution, given that more AI will sit close to the data sources. We can help connect branches and sites to the cloud and edge with AI computes running.
We also help in B2B integration with different customers or entities in the same company with separate operating models.
AI is driving new and exciting computing trends that will impact how infrastructure is built. At Aviatrix, we’re looking forward to seizing the moment with our secure and seamless cloud networking solution.
Thank you for the great interview, readers who wish to learn more should visit Aviatrix.
#agile#ai#AI and cloud#AI and cloud computing#AI engines#AI integration#ai model#ai tools#Amazon#amp#APIs#applications#architecture#assets#automation#Aviatrix#awareness#AWS#azure#B2B#biotechnology#bug#Building#call center#certification#Cloud#cloud computing#cloud data#cloud infrastructure#cloud network
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How to Choose the Right Machine Learning Course for Your Career
As the demand for machine learning professionals continues to surge, choosing the right machine learning course has become crucial for anyone looking to build a successful career in this field. With countless options available, from free online courses to intensive boot camps and advanced degrees, making the right choice can be overwhelming.
#machine learning course#data scientist#AI engineer#machine learning researcher#eginner machine learning course#advanced machine learning course#Python programming#data analysis#machine learning curriculum#supervised learning#unsupervised learning#deep learning#natural language processing#reinforcement learning#online machine learning course#in-person machine learning course#flexible learning#machine learning certification#Coursera machine learning#edX machine learning#Udacity machine learning#machine learning instructor#course reviews#student testimonials#career support#job placement#networking opportunities#alumni network#machine learning bootcamp#degree program
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How to Land Your First Job in a Construction Firm
Securing your first job as a civil engineer in a construction firm can be a daunting yet fulfilling endeavor. The construction industry is dynamic and offers various opportunities for fresh graduates. This article outlines effective strategies to help you land your first position, featuring real-life examples and insights from successful civil engineers. Understanding the Role of a Civil…
#career advice#civil engineer career#civil engineering#construction firm#construction industry#construction jobs#engineering certifications#engineering education#entry-level positions#first job#internships#interview preparation#job search tips#networking#resume building
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How to Advance Your Career with AWS Certifications
In the fast-paced world of cloud computing, Amazon Web Services (AWS) has established itself as a leader in providing scalable, reliable, and cost-effective cloud solutions. As organizations increasingly migrate their workloads to the cloud, the demand for skilled AWS professionals has surged. If you're looking to advance your career in the IT industry, AWS certifications can be your ticket to success. We'll explore how AWS certifications can propel your career forward and provide a step-by-step guide to achieving them.
The Power of AWS Certifications
AWS certifications are widely recognized in the IT industry and are considered a valuable asset for both newcomers and seasoned professionals. Here are some key reasons why AWS certifications can supercharge your career:
1. Industry Recognition
AWS is a trusted name in cloud computing, and their certifications are well-respected by employers worldwide. Holding an AWS certification demonstrates your expertise and commitment to staying current in a rapidly evolving field.
2. Career Advancement
AWS certifications can open doors to new job opportunities and promotions. Many organizations prefer to hire certified professionals because they are seen as more capable and knowledgeable in AWS technologies.
3. Increased Earning Potential
Certified AWS professionals often command higher salaries than their non-certified counterparts. According to a survey by Global Knowledge, AWS-certified individuals earn an average salary that is significantly above the industry average.
4. Skill Validation
Obtaining an AWS certification validates your skills and knowledge in specific AWS services and technologies. It serves as concrete evidence of your expertise in the eyes of potential employers.
Choosing the Right AWS Certification
AWS offers a wide range of certifications, catering to various roles and skill levels. Before you embark on your certification journey, it's essential to choose the one that aligns with your career goals and current experience. Here are a few popular AWS certifications:
1. AWS Certified Cloud Practitioner
Designed for individuals with little or no cloud experience, this entry-level certification provides a broad overview of AWS services, cloud concepts, and basic architectural best practices.
2. AWS Certified Solutions Architect
This certification is ideal for those interested in designing distributed systems on AWS. It covers topics like architectural best practices, security, and scalability.
3. AWS Certified SysOps Administrator
Focused on system operations and management, this certification is suitable for individuals responsible for deploying, managing, and operating systems on AWS.
4. AWS Certified DevOps Engineer
For those interested in automation, this certification validates skills related to continuous delivery, automation, and managing infrastructure as code.
5. AWS Certified Security - Specialty
For security professionals, this certification focuses on securing AWS workloads and implementing advanced security measures.
Steps to AWS Certification Success
Now that you've decided on the right certification, here are the steps to help you achieve your goal:
1. Set Clear Goals
Define your career goals and how AWS certifications align with them. Having a clear vision will keep you motivated throughout your certification journey.
2. Choose Relevant Training Resources
AWS provides extensive documentation and training resources, including online courses, practice exams, and official study guides. Consider enrolling in AWS Certified training courses, which are designed to help you prepare for the exams.
3. Hands-On Experience
Practice is key to mastering AWS. Create your AWS account and experiment with the services covered in your chosen certification. Hands-on experience will deepen your understanding and boost your confidence.
4. Study and Prepare
Devote time to study and review the certification's objectives. Use study guides, practice exams, and community forums to reinforce your knowledge.
5. Take Practice Exams
Practice exams are invaluable for gauging your readiness. They help you identify areas where you need to improve and build your test-taking skills.
6. Schedule and Take the Exam
Once you feel confident in your knowledge, schedule your exam. AWS offers both online and in-person testing options to accommodate your preferences.
7. Stay Informed
AWS constantly updates its services and certifications. Stay informed about changes and consider pursuing additional certifications to continue growing in your career.
Conclusion
AWS certifications have become a gold standard in the IT industry, and they offer an excellent opportunity to advance your career. Whether you're starting from scratch or looking to level up your skills, there's a certification tailored to your needs. Remember that certification is a journey, not a destination. Keep learning, stay updated, and embrace the dynamic world of AWS to unlock the full potential of your cloud computing career. With dedication and the right certifications, you can be on your way to a brighter and more rewarding future in the world of cloud computing.
#AWS Certifications#AWS Training#Cloud Computing Certifications#Amazon Web Services#AWS Solutions Architect#AWS Certified Developer#AWS Certified SysOps Administrator#AWS Certified Cloud Practitioner#AWS Certified DevOps Engineer#AWS Specialty Certifications#Cloud Security Certifications#Cloud Networking Certifications
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AZ 900 - Azure fundamentals exam questions| Latest series |Part 14
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Unlocking Your Future: How to Become an SQL Engineer at Top Tech Companies
As a college student with aspirations of landing your dream job at a top tech giant company, becoming an SQL Engineer can open the doors to a data-driven and fulfilling career. SQL (Structured Query Language) is an essential skill in the tech industry, enabling professionals to manage and analyze vast amounts of data efficiently. In this comprehensive guide, we will explore the key steps to…
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#Advanced SQL Techniques#Certifications#Data Analysis#Data Visualization#Database Management#Database Management Systems#Hands-On Projects#Interview Preparation#lifelong learning#Networking#Online Courses#Online Presence#SQL Basics#SQL Engineer#Tech Career#Tech Jobs
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From past responses you clearly have some experience with the console cert process. I was wondering: why do so few games offer cross platform play? Does the cert process become disproportionately more difficult when communicating to other systems becomes involved? Or is it just a difficult feature from a purely engineering pov? Thank you!
There are two major groups of hurdles to crossplay - technical and political. Both of these issues were primarily ironed out by Epic in late 2018, and then they opened up the doors for everybody else by releasing their set of crossplay tools and tech to the public for free.
On the technical side, the various walled garden networks - PSN, XBL, Nintendo Online - each have their own set of protocols, ports, technology, etc. They do not talk to each other or transfer information in the same way. There's a good reason for this - they weren't built by the same people or using the same technology, so their internal workings are all different. In order to solve this, the any third party developer needs to build a system that can take data from any supported service and translate it in real time so all players on other platforms understand what's happening in the game. This requires a fairly hefty engineering effort.
On the political side, console platform networks are walled gardens that generate a lot of revenue for the platforms. Every sale within that walled garden typically earns the platform owner a 30% cut. This is why they can afford to sell game consoles at a loss, they hope to make it back from their users. Allowing other players on other platforms to play with their users takes away from their exclusivity. This attitude permeates their certification rules, which are then enforced on all third party developers. Even now that crossplay is allowed, there are a lot of rules in place about things like communication between platforms (e.g. Rocket League was not allowed to let Playstation players communicate with PC players because of potential content ratings).
In 2018, Epic pushed to allow crossplay for their lifestyle game juggernaut Fortnite. Microsoft had already been dabbling in that arena by allowing Xbox to play with PC players (since most players ran on Windows anyway, so they were both Microsoft platforms), but Sony refused. Epic smoothed this over by paying Sony a significant sum of money to 'make up for lost revenue' and developing their own tools and technology to handle the technical issues of allowing crossplay. Sony begrudgingly agreed, so Fortnite went crossplay. Then, in typical fashion, Epic released their entire suite of crossplay tools to the public for free. Games like Dauntless and Rocket League soon followed to crossplay, and by 2019 Sony had changed their stance to accept crossplay.
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The Great College Lie: Why Degrees Don’t Mean Success
For years, we’ve been fed the same script: Go to college, get a degree, and the world will roll out a red carpet to your success. Sounds simple, right? Except, for many, that “red carpet” feels more like a never-ending hamster wheel of debt, underemployment, and job applications that go straight into the void. So, what happened? Did college lie to us, or did we buy into a dream that was never designed to include everyone?
Let’s dissect The Great College Lie—why the degree doesn’t guarantee success, and what you can do to thrive despite the system.
1. The Promise vs. Reality
The Promise:
College is marketed as the “great equalizer.” They told us education would unlock the American Dream: a steady career, financial security, and a house with a white picket fence. And sure, for some, it worked. But for many others, here’s the reality:
The Reality:
Student Loan Debt: The average college graduate in the U.S. owes $37,000+ in student loans, which can take decades to pay off.
Underemployment: Over 40% of college graduates work jobs that don’t require a degree (hello, barista jobs with a philosophy major).
No Guarantees: That diploma doesn’t protect you from layoffs, market crashes, or a rapidly evolving job market that now demands experience over credentials.
2. Why Degrees Don’t Equal Success
1. It’s About Who You Know, Not What You Know
Networking often outranks education. Studies have shown that up to 70% of jobs are never even posted publicly—they’re filled through connections. Translation? You can have a degree from Harvard, but Chad with zero qualifications might get the job because his dad plays golf with the CEO.
2. Degrees are Losing Their Edge
A bachelor’s degree used to set you apart. Now? It’s almost like having a high school diploma. Everyone has one, which means the competition is fiercer, and employers are raising their standards to include master’s degrees and certifications.
3. The Skills Gap is Real
A piece of paper doesn’t always mean you have the skills employers need. A 2021 survey revealed that 46% of employers feel recent grads aren’t prepared for the workforce. Critical thinking, problem-solving, and real-world experience often trump textbook knowledge.
3. The Student Loan Scam
Let’s call it what it is: a scam. The system was designed to profit off your dreams. Here’s how it works:
Colleges Overpromise: They lure students with flashy marketing, luxurious dorms, and vague promises of a “bright future.”
Loans Trap You: The government and private lenders make it easy to borrow, but repayment terms keep you financially enslaved for decades.
Inflated Costs: College tuition has skyrocketed over 1200% since 1980, far outpacing wage growth. So, you’re borrowing more but earning less.
4. “But College is Still Worth It, Right?”
It depends. For some fields—like medicine, law, and engineering—a degree is non-negotiable. But for many careers, it’s becoming clear that skills and experience matter more than credentials.
Here’s the Shift:
Trade Schools and Certifications: Electricians, plumbers, and tech professionals often earn just as much (or more) than degree holders—with a fraction of the debt.
Freelance and Entrepreneurial Skills: The internet has opened doors to self-taught careers in writing, design, coding, and more.
On-the-Job Learning: Companies like Google, Tesla, and IBM no longer require degrees for many positions—they value skills instead.
5. So, What Should You Do Instead?
1. Learn Marketable Skills
Platforms like Coursera, Udemy, and Khan Academy offer affordable (sometimes free) courses on coding, graphic design, marketing, and more.
The ROI on these courses often far exceeds a traditional degree.
2. Network, Network, Network
Attend local events, join LinkedIn groups, and connect with mentors in your field.
Remember: Jobs often go to those with connections—not just qualifications.
3. Embrace Lifelong Learning
The job market evolves constantly. Staying ahead means continually updating your skills, whether through certifications or self-study.
4. Question the Narrative
Don’t blindly follow the “go to college” script. Ask yourself: What do I want to do, and is college the best path to get there?
6. The Humble Truth About Success
Here’s the real kicker: Success isn’t tied to a degree—it’s tied to your grit, adaptability, and willingness to hustle smart.
Degrees can help, but they aren’t the golden ticket we were promised.
Building real-world skills, learning to market yourself, and forming relationships will often get you farther than any diploma can.
What They Don’t Want You to Know
The Great College Lie isn’t just about the myth of guaranteed success—it’s about the systems that profit from your hopes and dreams. College can be a valuable tool, but it’s not the only path to success.
The sooner we stop glorifying degrees and start valuing skills, effort, and innovation, the better off we’ll all be. In the meantime, let’s admit one thing: We were all sold a dream. But it’s not too late to wake up and rewrite the story.
#CollegeDebt#HigherEducationScam#CareerSuccess#StudentLoans#EducationCritique#LifeAfterCollege#Humor#TruthBombs#trends#news#world news#ModernCulture#SocialCommentary#CulturalCritique#EchoChamberCulture#MoralOutrage#fitness#please share#ReflectionRegret#RelatableTrash#funny post#funny memes#funny stuff#funny shit#humor#jokes#memes#lol#haha#societyandculture
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Free Resources for Learning Cybersecurity
I created this post for the Studyblr Masterpost Jam, check out the tag for more cool masterposts from folks in the studyblr community!
Free Online Courses
Linux Foundation Cybersecurity Courses - many of their beginner/introductory courses are free
Professor Messer's Security+ Course - a great intro to cybersecurity, gave me the skills to pass my Security+ exam
Khan Academy Cryptography - solid foundations for understanding the math behind encryption
ISC2's new entry level cert & training CC is free, although for a limited time
Linux Journey - learn Linux, the command line, and basic networking
Free CTFs & Ways to Practice
What is a CTF? - HackTheBox isn't a free platform, but this is a good article explaining what a CTF is and how to approach it
OverTheWire Bandit - practice your Linux skills
PicoCTF - this one already ran this year but their website has plenty of resources
Microcorruption - binary exploitation challenges
Hacker101 - web security CTF
Cryptopals Cryptography Challenges
Nightmare - binary exploitation & reverse engineering challenges
Cybersecurity News: follow what's happening in the industry
KrebsOnSecurity - security & cybercrime news, investigative journalism
SANS StormCast - daily 5-minute security news podcast
SANS Internet Storm Center - security blog posts
Cisco Talos blog - security news, threat intelligence & malware investigations
Schneier on Security - security & society
Black Hills Information Security webcasts
Darknet Diaries podcast
Other Free Resources
Trail of Bits's CTF Field Guide
PicoCTF Resources and Practice
SANS Cheat Sheets - all areas of security & tech
OWASP Cheat Sheets - application security & web attacks
LaurieWired's YouTube channel - high-quality videos on low-level tech
LiveOverflow's YouTube channel - binary exploitation
SANS Webinars
Cybersecurity Certifications Roadmap
Cybersecurity Job Supply and Demand Map (for the U.S.)
EFF's Surveillance Self-Defense - guides for how to protect yourself online
Don't Forget the Library!
If you have access to a public or school library, check out their technical books and see what they have to offer. O'Reilly and No Starch Press are my favorite publishers for technical and cybersecurity books, but be on the lookout for study guides for the Security+ and other certifications - these will give you a good introduction to the basics. I wrote more about cybersecurity books in yesterday's masterpost.
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A Dynamic Community Driving Computer and Engineers Progress
Join ICEA, a dynamic community connecting computer experts and engineers. Explore the best private university for computer science in India, private universities for computer science, and networking engineer certification. Beyond memberships, we offer smart cards and more!
Visit - https://icea.aipu.in/
#best private university for computer science in india#private universities for computer science#networking engineer certification
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[EN] Video Game Writing Resources!
Hello! My name is Andrea--I have been writing for games since 2018, and even worked as a writer at Firaxis Games from 2022 until April of 2023. So, I knew a few things about narrative design--but what the fuck is it? Recently, I gave a talk about the fundamentals and history of the field of narrative design. In Spanish. So, let's talk about it in English--the "what," "why," "how," "when," and "who," of narrative design! What is narrative design? Narrative design is not just writing--it's a huge part of it, but designing a narrative system involves implementing narrative content into the build of the game. So there is a technical learning curve to it. Personally, I watched and obtained certifications in Unreal Engine 5 and Unity in order to be aware of the limitations of each engine. I used the free trial of LinkedIn Learning, but courses about this engine are available in these websites: - https://platzi.com/ - https://www.arkde.com/ - https://www.domestika.org/?query=unity - https://www.coursera.org/ Why do we need narrative design? In order to create an interactive story that the player feels a part of, narrative designers are mandatory. It's not a responsibility that can be placed on other designers (then we would be entering crunch territory) rather someone who specifically specializes in both creative writing and game design is needed to explain within the context of the game's story why the mechanics work in a certain way. Imagine if a Telltale game did not have dialogue, for example--what would we be left with? Or if The Last Of Us did not convey a narrative through its environments.
Narrative designers are needed so that all of the departments are in sync and understand the story that they are trying to tell. For example, if a game takes place in a haunted house that was abandoned, we need all hands on deck. The narrative designer can explain to the environment artists why there are so many holes in the living room--perhaps the last tenants of the house were a rowdy bunch. Or, they can tell the sound designers which planks of wood are the most rotten and need a loud sound effect to highlight how it has been abandoned. How do I become a narrative designer? There is no one way to become a narrative designer. Some people start in QA and transition into the field, I have also witnessed engineers and doctors wanting to get into narrative design. I do recommend having the following (at least): - A passion for storytelling. - Deep understanding of the mechanics of the game and the player experience. - Communication skills are incredibly important--can you describe your story in a concise way to your peers in a Confluence page?
Documentation skills are also a massive plus.
Very basic understanding of game engines and limitations. You don't have to be a computer science major, but know what your requests will entail. If you have an idea of a cutscene, can the engine handle it? Will the animators have enough time? Is it within scope?
If you can, attend game jams! They are an amazing way to network with amazing people and get a feel of what the game production pipeline is like.
Additionally, I highly recommend the following resources: First, the free resources! ~It's free real estate~
Look up Twinery tutorials. (https://twinery.org/) Not only is it free, but you can use it on your browser. More importantly, you will learn about branching narratives and can create your own games within a few minutes--the interface, though it requires a bit of coding, is incredibly easy to use and there are a lot of tutorials available online.
Download Ren'Py (https://www.renpy.org/) and watch tutorials. It's free, and there is a huge community of visual novel developers who may need help with narrative designers, writers, editors and even translators. An amazing resource that a colleague shared was this Discord with visual novel developers--if you have an idea, feel free to connect with artists and voice actors here! https://discord.gg/nW5yn4FE
Network, network, network! Follow narrative design and game writer groups on Discord, Facebook and even LinkedIn. -- An amazing convention that is online, free and accessible regarding narrative design is LudoNarraCon.
If you go to itch.io you will see a list of game jams that you can attend to for free! Some game jams that I have attended and had a positive experience are the following: - Woman Game Jam. I encourage folks from marginalized genders to attend this game jam, as we have a large pool of mentors willing to help in every single discipline at any time due to the global nature of it. It is a safe and inclusive space for women and nonbinary folx who want to get into the gaming industry! - Global Game Jam. Self explanatory, it has some in-person opportunities but you can also attend remotely. - Greenlight Jam. Do you have an idea that can not be done in only 48 hours? The Greenlight Jam is amazing, as it lasts four weeks--which allows narrative designers to develop complex narrative systems and even record voice lines for a more complex project. Side Note: Even though most game jams have a time limit, I do encourage narrative designers to develop and polish the prototypes and levels created during game jams to have portfolios and writing samples that stand out!
Work With Indies is a job site that publishes job opportunities--including ones in writing and narrative design. Additionally, their Discord has some networking events with writers so you can connect with them.
Other websites that not only publish jobs but include networking events are Hitmarker.net (this is their Discord), IndieGameAcademy (link to Discord),
Newsletters! A lot of experienced game writers have newsletters dedicated to the craft, to name a few that I highly recommend: -- Greg Buchanan's newsletter. Rounds up game writing news every Tuesday, and includes job opportunities. -- Bright Whitney's newsletter. A studio founder with amazing insights regarding game design and thoughtful narrative, Whitney's threads are extremely insightful. -- Susan O'Connor's blog on The Narrative Department. In addition to providing free knowledge regarding world building, narrative design, game writing and other specifics of the craft Susan interviews industry professionals and alumni who offer testimonials that have amazing advice. -- GDC talks about narrative design. Though I recommend the GDC vault as well in the next section, I highly recommend the GDC talks regarding not only narrative design but the development of your favorite titles!
Now, for resources that may not be free--but I highly recommend, as someone who used them first hand. - The Narrative Department. This post is not sponsored by them at all, however it is rare to find an instructor as kind and hard-working as Susan O'Connor who has been a narrative designer in historic AAA, AA and independent titles. Known for her contributions in Tomb Raider, Batman: The Enemy Within, and BioShock to name a few (imdb is: https://www.imdb.com/name/nm1897248/) her Game Writing Masterclass offers a certification in everything related to game writing. A few subjects she touches on are: -- Characters and how to make them compelling. -- Barks and ambience writing. -- Dialogue, backstories and scripts. -- How to work with other departments. And more! Additionally, you would obtain access to a huge alumni network full of game writing professionals working in independent, AA and AAA studios! Not to mention that all of the assignments completed in the class will look amazing in a portfolio as game writing samples. - GDC Vault. Though I have an opinion on the price tag of GDC tickets and the vault, I would definitely include it as it has resources from several studios, writers, narrative designers and more! When was narrative design formed? When can I become a narrative designer?
That's a wonderful question. Narrative design, as a term, was first used around the 90s but became more established between the 2000s and 2010s. So, although the field is relatively new, and there are not a lot educational resources available, consider yourself part of an innovative field that is exponentially growing! Recently, a game developer asked when was the best time to keep an eye out for job openings. And a harsh truth about the gaming industry is that it is extremely volatile--layoffs, downsizings and startups rise and fall. This is not meant to deter anyone from pursuing a career in narrative design, but rather I am including it for the sake of transparency. We cannot predict when a studio is going to layoff their employees, or when they cancel unannounced projects. Unlike most industries where we know for a fact that recruiters keep a sharp eye for candidates in Q1 and Q3, a piece of advice I received from a mentor of mine was to try to predict when projects are going to need more stories. There's the release of a game, and then there is the addition of additional narrative content--and for this, they will more than likely need associate/entry/junior level narrative designers, writers and quest designers. But--this is related to searching for a job as a narrative designer, and I can write a novel about that (and will edit this article to redirect folx into it.) So, keep an eye out for huge game announcements. Then, cater your resume to what the studio is looking for in a narrative designer. Now, to finish off this article: Who is a narrative designer? If you have a passion for storytelling and games, and have participated in game jams, congratulations you are a wonderful narrative designer! Make sure you always include that you are a narrative designer, and not an aspiring narrative designer--it makes you stand out amongst applicants. That's all I have for now--feel free to interact, comment and share! Let me know if I missed something and I will be sure to add it.
#narrative design#game development#game dev#gamedev#game design#indie games#game developers#narrative#writer#writing#creative writing#on writing#writers on tumblr#gaming#gamers of tumblr#video games#video gaming#pc games#steam games#story telling#history#women in gaming#videogame
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Faster Diagnosis of Endometriosis With AI - Technology Org
New Post has been published on https://thedigitalinsider.com/faster-diagnosis-of-endometriosis-with-ai-technology-org/
Faster Diagnosis of Endometriosis With AI - Technology Org
ETH spin-off dAIgnose is developing an algorithm to analyse ultrasound images of the womb automatically. This should enable doctors to diagnose endometriosis more quickly in the future.
ETH researcher Fabian Laumer (left) and gynaecologist Michael Bajka aim to facilitate the diagnosis of endometriosis using ultrasound with ETH spin-off dAIgnose. Image credit: Fabian Laumer and Michael Bajka / ETH
Endometriosis is widespread. Around ten percent of all women of childbearing age throughout the world suffer from it. And “suffer” is the operative word here, as it takes an average of eight to twelve years for these benign growths of the endometrium in the abdominal cavity to be diagnosed. Years in which women endure severe pain generally before and during menstruation.
Many gynaecologists still rely on a laparoscopy performed under general anaesthetic to reliably diagnose endometriosis. However, this procedure is not only laborious and onerous for patients but also relatively costly. While endometriosis could be diagnosed for most patients via ultrasound, this calls for a certain degree of experience as it can easily go undetected.
AI expert Fabian Laumer and gynaecologist Michael Bajka therefore founded the spin-off dAIgnose in the summer of 2023. Their goal is to develop an algorithm to assist doctors in interpreting the ultrasound data of the womb during the initial examination in order to diagnose endometriosis reliable and much faster. They are receiving specialist support from the ETH AI Center and their two co-founders ETH Computer Science Professor Joachim Buhmann and Julian Metzler, an endometriosis specialist at University Hospital Zurich.
Entrepreneurs by chance
The fact that Laumer is today developing medical solutions is something he owes on two counts to chance. For although medicine and biology already fascinated him as a child, he initially studied electrical engineering and information technology. It was only when he was studying for his Master’s degree that he had the opportunity to combine artificial intelligence (AI) and medicine. “I heard by chance that Buhmann’s research group was offering a Master’s thesis on the AI-based analysis of ultrasound data of the heart,” explains Laumer. He immediately applied – and was successful.
After completing his Master’s degree he continued the research work in a doctoral project. And once again chance came to his aid. Bajka contacted his research group asking whether AI could be used to detect endometriosis. Laumer was exactly the right person for the gynaecologist specialising in endometriosis to put his question to. For his doctoral project, the ETH researcher developed an algorithm enabling the better interpretation of ultrasound data of the heart. This approach was then transferred to the womb.
Creating a 3D model from 2D images
Laumer and Bajka developed an algorithm that identifies pathologies on the ultrasound images of the womb that are often difficult or even impossible for the human eye to see. To this end, Laumer trained the algorithm with ultrasound images and patient data. “The number of pregnancies and Caesareans, age or phase in the menstrual cycle – all these factors obviously influence the appearance of the womb,” he explains.
An ultrasound image with endometriosis marked in colour. Image credit: Fabian Laumer and Michael Bajka / ETH
The algorithm currently shows the endometriosis in colour on 2D ultrasound images. If the development work proceeds as planned, Laumer hopes to generate a 3D model of the womb by the end of the year on which all growths and adhesions are clearly marked. This could enable gynaecologists to precisely localise endometriosis and better assess the severity of the condition.
Standards for endometriosis diagnosis
To ensure that the dAIgnose AI solution delivers the most reliable results possible, Bajka and Laumer also wish to define fixed standards for the ultrasound examination of endometriosis. A software program with integrated AI will therefore actively guide gynaecologists through the examination in future. “This way we can achieve standardisation while the program will ensure that the entire womb is mapped.”
In order to push forward the research, the spin-off is currently on the look-out for further investors and holding initial talks with manufacturers of medical devices. If everything goes to plan, market entry at the end of 2025 is conceivable. However, various certifications will still be pending to allow the intelligent software to be used in medical devices. One thing is certain for Laumer: “My aim is for women in future to receive a reliable diagnosis within a year.”
Source: ETH Zurich
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#2023#3d#3D model#A.I. & Neural Networks news#ai#algorithm#Analysis#approach#artificial#Artificial Intelligence#artificial intelligence (AI)#Biology#Biotechnology news#Certifications#computer#Computer Science#data#development#devices#endometriosis#engineering#ETH Zurich#eye#Future#Health & medicine news#heart#human#images#information technology#intelligence
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"From Passion to Profession: Steps to Enter the Tech Industry"
How to Break into the Tech World: Your Comprehensive Guide
In today’s fast-paced digital landscape, the tech industry is thriving and full of opportunities. Whether you’re a student, a career changer, or someone passionate about technology, you may be wondering, “How do I get into the tech world?” This guide will provide you with actionable steps, resources, and insights to help you successfully navigate your journey.
Understanding the Tech Landscape
Before you start, it's essential to understand the various sectors within the tech industry. Key areas include:
Software Development: Designing and building applications and systems.
Data Science: Analyzing data to support decision-making.
Cybersecurity: Safeguarding systems and networks from digital threats.
Product Management: Overseeing the development and delivery of tech products.
User Experience (UX) Design: Focusing on the usability and overall experience of tech products.
Identifying your interests will help you choose the right path.
Step 1: Assess Your Interests and Skills
Begin your journey by evaluating your interests and existing skills. Consider the following questions:
What areas of technology excite me the most?
Do I prefer coding, data analysis, design, or project management?
What transferable skills do I already possess?
This self-assessment will help clarify your direction in the tech field.
Step 2: Gain Relevant Education and Skills
Formal Education
While a degree isn’t always necessary, it can be beneficial, especially for roles in software engineering or data science. Options include:
Computer Science Degree: Provides a strong foundation in programming and system design.
Coding Bootcamps: Intensive programs that teach practical skills quickly.
Online Courses: Platforms like Coursera, edX, and Udacity offer courses in various tech fields.
Self-Learning and Online Resources
The tech industry evolves rapidly, making self-learning crucial. Explore resources like:
FreeCodeCamp: Offers free coding tutorials and projects.
Kaggle: A platform for data science practice and competitions.
YouTube: Channels dedicated to tutorials on coding, design, and more.
Certifications
Certifications can enhance your credentials. Consider options like:
AWS Certified Solutions Architect: Valuable for cloud computing roles.
Certified Information Systems Security Professional (CISSP): Great for cybersecurity.
Google Analytics Certification: Useful for data-driven positions.
Step 3: Build a Portfolio
A strong portfolio showcases your skills and projects. Here’s how to create one:
For Developers
GitHub: Share your code and contributions to open-source projects.
Personal Website: Create a site to display your projects, skills, and resume.
For Designers
Design Portfolio: Use platforms like Behance or Dribbble to showcase your work.
Case Studies: Document your design process and outcomes.
For Data Professionals
Data Projects: Analyze public datasets and share your findings.
Blogging: Write about your data analysis and insights on a personal blog.
Step 4: Network in the Tech Community
Networking is vital for success in tech. Here are some strategies:
Attend Meetups and Conferences
Search for local tech meetups or conferences. Websites like Meetup.com and Eventbrite can help you find relevant events, providing opportunities to meet professionals and learn from experts.
Join Online Communities
Engage in online forums and communities. Use platforms like:
LinkedIn: Connect with industry professionals and share insights.
Twitter: Follow tech influencers and participate in discussions.
Reddit: Subreddits like r/learnprogramming and r/datascience offer valuable advice and support.
Seek Mentorship
Finding a mentor can greatly benefit your journey. Reach out to experienced professionals in your field and ask for guidance.
Step 5: Gain Practical Experience
Hands-on experience is often more valuable than formal education. Here’s how to gain it:
Internships
Apply for internships, even if they are unpaid. They offer exposure to real-world projects and networking opportunities.
Freelancing
Consider freelancing to build your portfolio and gain experience. Platforms like Upwork and Fiverr can connect you with clients.
Contribute to Open Source
Engaging in open-source projects can enhance your skills and visibility. Many projects on GitHub are looking for contributors.
Step 6: Prepare for Job Applications
Crafting Your Resume
Tailor your resume to highlight relevant skills and experiences. Align it with the job description for each application.
Writing a Cover Letter
A compelling cover letter can set you apart. Highlight your passion for technology and what you can contribute.
Practice Interviewing
Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. For non-technical roles, rehearse common behavioral questions.
Step 7: Stay Updated and Keep Learning
The tech world is ever-evolving, making it crucial to stay current. Subscribe to industry newsletters, follow tech blogs, and continue learning through online courses.
Follow Industry Trends
Stay informed about emerging technologies and trends in your field. Resources like TechCrunch, Wired, and industry-specific blogs can provide valuable insights.
Continuous Learning
Dedicate time each week for learning. Whether through new courses, reading, or personal projects, ongoing education is essential for long-term success.
Conclusion
Breaking into the tech world may seem daunting, but with the right approach and commitment, it’s entirely possible. By assessing your interests, acquiring relevant skills, building a portfolio, networking, gaining practical experience, preparing for job applications, and committing to lifelong learning, you’ll be well on your way to a rewarding career in technology.
Embrace the journey, stay curious, and connect with the tech community. The tech world is vast and filled with possibilities, and your adventure is just beginning. Take that first step today and unlock the doors to your future in technology!
contact Infoemation wensite: https://agileseen.com/how-to-get-to-tech-world/ Phone: 01722-326809 Email: [email protected]
#tech career#how to get into tech#technology jobs#software development#data science#cybersecurity#product management#UX design#tech education#networking in tech#internships#freelancing#open source contribution#tech skills#continuous learning#job application tips
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Tupolev Tu-154B-2 Aeroflot
Registration: СССР-85412 Type: Tu-154B-2 Engines: 3 × NK-8-2 Serial Number: 0412 First flight: Apr 1980
During the era of the USSR, Aeroflot—Soviet Airlines reigned supreme as the sole airline in the nation, and it held the title of the largest aviation company in the world. Predominantly, its extensive network of routes spanned the vast Soviet territory, while its international operations, which bridged all five continents, were steadily expanding.
In the mid-1970s, the Soviet Union embarked on the ambitious endeavor of preparing to host the XXII Olympic Games in Moscow, slated for August 1980. Two years prior to the commencement of the Games, Aeroflot was designated as the official carrier of the event. The airline commenced operating charter flights to numerous countries worldwide, with the frequency of these flights surging as the Games approached. Aircraft assigned to international routes were emblazoned with stickers featuring the Olympic Games-80 emblem and the proclamation "Official Olympic Carrier." Approximately one hundred aircraft, including the IL-62, Tu-154, and Tu-134, proudly bore the Olympic symbols.
During this period, Aeroflot was vigorously augmenting its fleet with new aircraft, among which was the Tu-154, registered as USSR-85412. This particular aircraft, which would later be depicted on the poster, was constructed in April 1980 at the Samara Production Association of the 6th Main Directorate of the MAP of the USSR. After a distinguished service life, this aircraft ceased operations in 2007 in Kazan following the expiration of its airworthiness certificate. By that time, it had become part of the fleet of Tatarstan Airlines.
Poster for Aviators aviaposter.com
#SovietAirlines#sovietaircraft#tu154#ту154#туполев#туполь#tupolev154#avgeek#aviationart#giftforpilot
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